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What's your framework for evaluating whether an AI feature will deliver real user value versus being "AI for AI's sake"?

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2 Answers
Product Development Process
  1. Rosa Gonzalez Welton
    Rosa Gonzalez Welton

    Intuit Director of Product Management • 7mo

    This is a critical question for Product Management leaders. The fundamental PM principles still apply. I urge my team to start with the customer need and make resourcing and prioritization decisions to create customer value and business impact, all while experimenting and pivoting to iterate and drive adoption. You and your teammate may ask yourselves “is it AI enough?” Ask instead if you’re addressing a problem worth solving, and if AI is indeed the solution that makes sense in the context of a ...Read More

    776 Views
  2. Tammy Hahn
    Tammy Hahn

    Ignition SVP, Product | Formerly Cornerstone OnDemand, Groundswell, Skilljar, Gainsight • 2mo

    tl;dr: I don’t use a separate framework for AI. I evaluate it the same way I would any feature: does it solve a real, validated problem and materially improve the user’s workflow? A few principles behind that: “AI for AI’s sake” isn’t useless. It's training.Teams need reps. Low-risk AI features are a practical way to learn how to build, evaluate, and communicate AI. Just don’t bet the roadmap on them. Users don’t want “AI.” They want outcomes.The most valuable use cases are often unglamorous: su ...Read More

    596 Views

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